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Tool Universal Interface

Bentra AI
Built on Web3

The first on-chain universal protocol enabling AI models to seamlessly access software tools and services through standardized interfaces.

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Benefit

Building a universal language for AI.

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Reduce integration costs

Bentra AI eliminates this fragmentation through its Tool Universal Interface (TUI) protocol. By mapping all tool operations (API calls, database queries, device controls) into standardized JSON schemas, developers only need to implement ONE integration that automatically serves ALL AI models. Our tests show enterprises reduce tool integration time from 200+ hours per system to 60 hours across all AI platforms, while cutting cloud resource waste caused by duplicate API gateways by 73%.

Support GPT-4/Claude/Llama simultaneously with one protocol

All model requests are converted into standardized JSON templates. A dynamic parser handles syntax differences, reducing 80% of redundant code. Average response latency is 200ms across diverse AI systems.

80% less code, 200ms average latency.

Benefits:

Financial Growth

Dynamic Adapters

Enterprise-Grade Security

Cross-Model

Developer-Friendly

Open Protocol

Benefits:

Financial Growth

Dynamic Adapters

Enterprise-Grade Security

Cross-Model

Developer-Friendly

Open Protocol

Benefits:

Financial Growth

Dynamic Adapters

Enterprise-Grade Security

Cross-Model

Developer-Friendly

Open Protocol

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Feature

The Universal OS for AI Tools

The Universal OS for AI Tools

Bridging AI Models and Tools via Standardized Interface, Enabling Borderless Intelligence.

Bridging AI Models and Tools via Standardized Interface, Enabling Borderless Intelligence.

Universal Interface

Abstracts operations of any tool (API, database, IoT) into standardized JSON/Protobuf schemas, enabling “define once, use by all models”.

Universal Interface

Abstracts operations of any tool (API, database, IoT) into standardized JSON/Protobuf schemas, enabling “define once, use by all models”.

Dynamic Protocol

Automatically converts REST/GraphQL/SQL protocols in milliseconds, with 200+ pre-trained tool templates.

Dynamic Protocol

Automatically converts REST/GraphQL/SQL protocols in milliseconds, with 200+ pre-trained tool templates.

Cross-Model

Unifies parsing of GPT’s JSON, Claude’s XML, and Llama’s text commands into standardized tool call workflows.

Cross-Model

Unifies parsing of GPT’s JSON, Claude’s XML, and Llama’s text commands into standardized tool call workflows.

Security Gateway

Triple-layer security: Real-time anomaly detection, field-level RBAC, full audit trails with 99.97% attack blocking rate.

Security Gateway

Triple-layer security: Real-time anomaly detection, field-level RBAC, full audit trails with 99.97% attack blocking rate.

Tool Discovery

Decentralized tool registry auto-discovers available services in corporate networks/cloud environments, generating metadata.

Tool Discovery

Decentralized tool registry auto-discovers available services in corporate networks/cloud environments, generating metadata.

Orchestration

Routes requests based on cost (GPT-4’s high token cost vs Claude’s budget) and latency needs, with historical analytics reducing 35% tool usage costs.

Orchestration

Routes requests based on cost (GPT-4’s high token cost vs Claude’s budget) and latency needs, with historical analytics reducing 35% tool usage costs.

Universal Interface

Abstracts operations of any tool (API, database, IoT) into standardized JSON/Protobuf schemas, enabling “define once, use by all models”.

Dynamic Protocol

Automatically converts REST/GraphQL/SQL protocols in milliseconds, with 200+ pre-trained tool templates.

Security Gateway

Triple-layer security: Real-time anomaly detection, field-level RBAC, full audit trails with 99.97% attack blocking rate.

Tool Discovery

Decentralized tool registry auto-discovers available services in corporate networks/cloud environments, generating metadata.

Orchestration

Routes requests based on cost (GPT-4’s high token cost vs Claude’s budget) and latency needs, with historical analytics reducing 35% tool usage costs.

Architecture

Bentra AI Foundation Architecture

From Protocol Layers to Resource Orchestration: Building the “Neural Hub” for AI-Tool Interconnection.

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TUI Protocol Layer

Defines cross-model communication standards via JSON Schema & Protobuf with bi-directional streaming.

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TUI Protocol Layer

Defines cross-model communication standards via JSON Schema & Protobuf with bi-directional streaming.

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TUI Protocol Layer

Defines cross-model communication standards via JSON Schema & Protobuf with bi-directional streaming.

Client Approach

Dynamic Adapter Engine

Parses protocol semantics (REST/GraphQL/SQL) in real-time and auto-generates compatible interfaces.

Client Approach

Dynamic Adapter Engine

Parses protocol semantics (REST/GraphQL/SQL) in real-time and auto-generates compatible interfaces.

Client Approach

Dynamic Adapter Engine

Parses protocol semantics (REST/GraphQL/SQL) in real-time and auto-generates compatible interfaces.

Skilled team

Zero-Trust Security Framework

SPIFFE identity verification & WASM-based sandbox for end-to-end trust.

Skilled team

Zero-Trust Security Framework

SPIFFE identity verification & WASM-based sandbox for end-to-end trust.

Skilled team

Zero-Trust Security Framework

SPIFFE identity verification & WASM-based sandbox for end-to-end trust.

Flexible and scalable

Unified Resource Orchestrator

Dynamically allocates execution paths based on AI token costs & tool SLAs for optimal ROI.

Flexible and scalable

Unified Resource Orchestrator

Dynamically allocates execution paths based on AI token costs & tool SLAs for optimal ROI.

Flexible and scalable

Unified Resource Orchestrator

Dynamically allocates execution paths based on AI token costs & tool SLAs for optimal ROI.

Reasons why we are best business ideas maker
Reasons why we are best business ideas maker
Reasons why we are best business ideas maker

Process

Bentra AI Intelligent Workflow Engine

End-to-End Automation Pipeline: From AI Commands to Tool Execution, 10x Efficiency Boost.

Models initiate standardized requests

AI models (GPT/Claude/Llama) generate structured requests per TUI protocol specs, including tool type, operation commands, parameter constraints (e.g., timeout), with auto-added cross-model metadata identifiers (99.9% JSON Schema validation pass rate).

Models initiate standardized requests

AI models (GPT/Claude/Llama) generate structured requests per TUI protocol specs, including tool type, operation commands, parameter constraints (e.g., timeout), with auto-added cross-model metadata identifiers (99.9% JSON Schema validation pass rate).

Models initiate standardized requests

AI models (GPT/Claude/Llama) generate structured requests per TUI protocol specs, including tool type, operation commands, parameter constraints (e.g., timeout), with auto-added cross-model metadata identifiers (99.9% JSON Schema validation pass rate).

Secure sandbox execution

Execute operations in WebAssembly sandbox with resource limits (CPU/memory/network), detect anomalies (e.g., SQLi, API abuse) in real-time, and generate encrypted audit logs (with operator ID, timestamp, param hashes).

Secure sandbox execution

Execute operations in WebAssembly sandbox with resource limits (CPU/memory/network), detect anomalies (e.g., SQLi, API abuse) in real-time, and generate encrypted audit logs (with operator ID, timestamp, param hashes).

Secure sandbox execution

Execute operations in WebAssembly sandbox with resource limits (CPU/memory/network), detect anomalies (e.g., SQLi, API abuse) in real-time, and generate encrypted audit logs (with operator ID, timestamp, param hashes).

Dynamic protocol translation

Semantic engine parses target tool specs (e.g., Salesforce REST path params, MySQL SQL dialects), converts requests via pre-trained adapters, and intelligently completes missing parameters (e.g., auto-injecting OAuth 2.0 client_id).

Dynamic protocol translation

Semantic engine parses target tool specs (e.g., Salesforce REST path params, MySQL SQL dialects), converts requests via pre-trained adapters, and intelligently completes missing parameters (e.g., auto-injecting OAuth 2.0 client_id).

Dynamic protocol translation

Semantic engine parses target tool specs (e.g., Salesforce REST path params, MySQL SQL dialects), converts requests via pre-trained adapters, and intelligently completes missing parameters (e.g., auto-injecting OAuth 2.0 client_id).

Intelligent result routing

Dynamically route results based on policies (cost/latency) and historical data: high-cost models (e.g., GPT-4) get minimal data, budget models (e.g., Llama) receive raw logs, with 90% redundancy removed (e.g., filtering API debug metadata).

Intelligent result routing

Dynamically route results based on policies (cost/latency) and historical data: high-cost models (e.g., GPT-4) get minimal data, budget models (e.g., Llama) receive raw logs, with 90% redundancy removed (e.g., filtering API debug metadata).

Intelligent result routing

Dynamically route results based on policies (cost/latency) and historical data: high-cost models (e.g., GPT-4) get minimal data, budget models (e.g., Llama) receive raw logs, with 90% redundancy removed (e.g., filtering API debug metadata).

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Seamlessly Bridging AI & Tools

Where AI Collaboration Becomes Second Nature.

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Seamlessly Bridging AI & Tools

Where AI Collaboration Becomes Second Nature.

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Seamlessly Bridging AI & Tools

Where AI Collaboration Becomes Second Nature.

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FAQ’s

Frequently Asked Questions

Explore answers to the most frequently asked questions, providing you with helpful insights and clarity

Frequently asked question
Frequently asked question
Frequently asked question

What tools does TUI Protocol support?

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Covers 6 categories: APIs (REST/GraphQL), Databases (SQL/NoSQL), IoT (MQTT/CoAP), Cloud Functions, etc. with 98.5% compatibility.

How to secure AI-tool communication?

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How is it different from LangChain?

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Is on-premise deployment supported?

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How can developers contribute?

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What tools does TUI Protocol support?

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Covers 6 categories: APIs (REST/GraphQL), Databases (SQL/NoSQL), IoT (MQTT/CoAP), Cloud Functions, etc. with 98.5% compatibility.

How to secure AI-tool communication?

Arrow

How is it different from LangChain?

Arrow

Is on-premise deployment supported?

Arrow

How can developers contribute?

Arrow

What tools does TUI Protocol support?

Arrow
Border Image

Covers 6 categories: APIs (REST/GraphQL), Databases (SQL/NoSQL), IoT (MQTT/CoAP), Cloud Functions, etc. with 98.5% compatibility.

How to secure AI-tool communication?

Arrow

How is it different from LangChain?

Arrow

Is on-premise deployment supported?

Arrow

How can developers contribute?

Arrow
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Making Tool Calls the Native Language of AI, Not a Foreign Tongue

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Making Tool Calls the Native Language of AI, Not a Foreign Tongue

Join our subscriber list to get the latest updates from Bentra AI.

Making Tool Calls the Native Language of AI, Not a Foreign Tongue

Join our subscriber list to get the latest updates from Bentra AI.